Literature DB >> 28495012

What do clinicians treat: Diagnoses or symptoms? The incremental validity of a symptom-based, dimensional characterization of emotional disorders in predicting medication prescription patterns.

Monika A Waszczuk1, Mark Zimmerman2, Camilo Ruggero3, Kaiqiao Li1, Annmarie MacNamara4, Anna Weinberg5, Greg Hajcak6, David Watson7, Roman Kotov8.   

Abstract

BACKGROUND: Although practice guidelines are based on disorders specified in diagnostic manuals, such as the DSM, practitioners appear to follow symptoms when making treatment decisions. Psychiatric medication is generally prescribed in a transdiagnostic manner, further highlighting how symptoms, not diagnoses, often guide clinical practice. A quantitative approach to nosology promises to provide better guidance as it describes psychopathology dimensionally and its organization reflects patterns of covariation among symptoms. AIM: To investigate whether a quantitative classification of emotional disorders can account for naturalistic medication prescription patterns better than traditional diagnoses.
METHODS: Symptom dimensions and DSM diagnoses of emotional disorders, as well as prescribed medications, were assessed using interviews in a psychiatric outpatient sample (N=318, mean age 42.5years old, 59% female, 81% Caucasian).
RESULTS: Each diagnosis was associated with prescription of multiple medication classes, and most medications were associated with multiple disorders. This was largely due to heterogeneity of clinical diagnoses, with narrow, homogenous dimensions underpinning diagnoses showing different medication profiles. Symptom dimensions predicted medication prescription better than DSM diagnoses, irrespective of whether this was examined broadly across all conditions, or focused on a specific disorder and medication indicated for it.
CONCLUSIONS: Psychiatric medication was prescribed in line with symptoms rather than DSM diagnoses. A quantitative approach to nosology may better reflect treatment planning and be a more effective guide to pharmacotherapy than traditional diagnoses. This adds to a diverse body of evidence about superiority of the quantitative system in practical applications and highlights its potential to improve psychiatric care.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28495012      PMCID: PMC5643213          DOI: 10.1016/j.comppsych.2017.04.004

Source DB:  PubMed          Journal:  Compr Psychiatry        ISSN: 0010-440X            Impact factor:   3.735


  36 in total

Review 1.  Why don't physicians follow clinical practice guidelines? A framework for improvement.

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2.  Understanding clinicians' diagnostic practices: attitudes toward the utility of diagnosis and standardized diagnostic tools.

Authors:  Amanda Jensen-Doss; Kristin M Hawley
Journal:  Adm Policy Ment Health       Date:  2011-11

3.  Categorical versus dimensional approaches to diagnosis: methodological challenges.

Authors:  Helena Chmura Kraemer; Art Noda; Ruth O'Hara
Journal:  J Psychiatr Res       Date:  2004-01       Impact factor: 4.791

4.  Prevalence of antipsychotic prescriptions among patients with anxiety disorders treated in inpatient and outpatient psychiatric settings.

Authors:  Samuel R Weber; Allison M Wehr; Anne-Marie Duchemin
Journal:  J Affect Disord       Date:  2015-11-26       Impact factor: 4.839

5.  Delineating the structure of normal and abnormal personality: an integrative hierarchical approach.

Authors:  Kristian E Markon; Robert F Krueger; David Watson
Journal:  J Pers Soc Psychol       Date:  2005-01

6.  The association between insomnia severity and healthcare and productivity costs in a health plan sample.

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Journal:  Sleep       Date:  2011-04-01       Impact factor: 5.849

7.  The structure of psychopathology: toward an expanded quantitative empirical model.

Authors:  Aidan G C Wright; Robert F Krueger; Megan J Hobbs; Kristian E Markon; Nicholas R Eaton; Tim Slade
Journal:  J Abnorm Psychol       Date:  2012-10-15

Review 8.  Emotional disorders: cluster 4 of the proposed meta-structure for DSM-V and ICD-11.

Authors:  D P Goldberg; R F Krueger; G Andrews; M J Hobbs
Journal:  Psychol Med       Date:  2009-10-01       Impact factor: 7.723

9.  ADHD and the externalizing spectrum: direct comparison of categorical, continuous, and hybrid models of liability in a nationally representative sample.

Authors:  Natacha Carragher; Robert F Krueger; Nicholas R Eaton; Kristian E Markon; Katherine M Keyes; Carlos Blanco; Tulshi D Saha; Deborah S Hasin
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2013-10-01       Impact factor: 4.328

10.  Recognition and treatment of depression in primary care: effect of patients' presentation and frequency of consultation.

Authors:  Marco Menchetti; Martino Belvederi Murri; Klea Bertakis; Biancamaria Bortolotti; Domenico Berardi
Journal:  J Psychosom Res       Date:  2008-12-16       Impact factor: 3.006

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1.  Progress in achieving quantitative classification of psychopathology.

Authors:  Robert F Krueger; Roman Kotov; David Watson; Miriam K Forbes; Nicholas R Eaton; Camilo J Ruggero; Leonard J Simms; Thomas A Widiger; Thomas M Achenbach; Bo Bach; R Michael Bagby; Marina A Bornovalova; William T Carpenter; Michael Chmielewski; David C Cicero; Lee Anna Clark; Christopher Conway; Barbara DeClercq; Colin G DeYoung; Anna R Docherty; Laura E Drislane; Michael B First; Kelsie T Forbush; Michael Hallquist; John D Haltigan; Christopher J Hopwood; Masha Y Ivanova; Katherine G Jonas; Robert D Latzman; Kristian E Markon; Joshua D Miller; Leslie C Morey; Stephanie N Mullins-Sweatt; Johan Ormel; Praveetha Patalay; Christopher J Patrick; Aaron L Pincus; Darrel A Regier; Ulrich Reininghaus; Leslie A Rescorla; Douglas B Samuel; Martin Sellbom; Alexander J Shackman; Andrew Skodol; Tim Slade; Susan C South; Matthew Sunderland; Jennifer L Tackett; Noah C Venables; Irwin D Waldman; Monika A Waszczuk; Mark H Waugh; Aidan G C Wright; David H Zald; Johannes Zimmermann
Journal:  World Psychiatry       Date:  2018-10       Impact factor: 49.548

2. 

Authors:  Robert F Krueger; Roman Kotov; David Watson; Miriam K Forbes; Nicholas R Eaton; Camilo J Ruggero; Leonard J Simms; Thomas A Widiger; Thomas M Achenbach; Bo Bach; R Michael Bagby; Marina A Bornovalova; William T Carpenter; Michael Chmielewski; David C Cicero; Lee Anna Clark; Christopher Conway; Barbara DeClercq; Colin G DeYoung; Anna R Docherty; Laura E Drislane; Michael B First; Kelsie T Forbush; Michael Hallquist; John D Haltigan; Christopher J Hopwood; Masha Y Ivanova; Katherine G Jonas; Robert D Latzman; Kristian E Markon; Joshua D Miller; Leslie C Morey; Stephanie N Mullins-Sweatt; Johan Ormel; Praveetha Patalay; Christopher J Patrick; Aaron L Pincus; Darrel A Regier; Ulrich Reininghaus; Leslie A Rescorla; Douglas B Samuel; Martin Sellbom; Alexander J Shackman; Andrew Skodol; Tim Slade; Susan C South; Matthew Sunderland; Jennifer L Tackett; Noah C Venables; Irwin D Waldman; Monika A Waszczuk; Mark H Waugh; Aidan G C Wright; David H Zald; Johannes Zimmermann
Journal:  Ann Med Psychol (Paris)       Date:  2021-01-08       Impact factor: 0.380

Review 3.  A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research.

Authors:  Christopher C Conway; Miriam K Forbes; Kelsie T Forbush; Eiko I Fried; Michael N Hallquist; Roman Kotov; Stephanie N Mullins-Sweatt; Alexander J Shackman; Andrew E Skodol; Susan C South; Matthew Sunderland; Monika A Waszczuk; David H Zald; Mohammad H Afzali; Marina A Bornovalova; Natacha Carragher; Anna R Docherty; Katherine G Jonas; Robert F Krueger; Praveetha Patalay; Aaron L Pincus; Jennifer L Tackett; Ulrich Reininghaus; Irwin D Waldman; Aidan G C Wright; Johannes Zimmermann; Bo Bach; R Michael Bagby; Michael Chmielewski; David C Cicero; Lee Anna Clark; Tim Dalgleish; Colin G DeYoung; Christopher J Hopwood; Masha Y Ivanova; Robert D Latzman; Christopher J Patrick; Camilo J Ruggero; Douglas B Samuel; David Watson; Nicholas R Eaton
Journal:  Perspect Psychol Sci       Date:  2019-03-07

4.  The prognostic utility of personality traits versus past psychiatric diagnoses: Predicting future mental health and functioning.

Authors:  Monika A Waszczuk; Christopher J Hopwood; Benjamin J Luft; Leslie C Morey; Greg Perlman; Camilo J Ruggero; Andrew E Skodol; Roman Kotov
Journal:  Clin Psychol Sci       Date:  2021-12-21

5.  A Hierarchical Taxonomy of Psychopathology (HiTOP) Primer for Mental Health Researchers.

Authors:  Christopher C Conway; Miriam K Forbes; Susan C South
Journal:  Clin Psychol Sci       Date:  2021-06-23

6.  How Does Comparison With Artificial Intelligence Shed Light on the Way Clinicians Reason? A Cross-Talk Perspective.

Authors:  Vincent P Martin; Jean-Luc Rouas; Pierre Philip; Pierre Fourneret; Jean-Arthur Micoulaud-Franchi; Christophe Gauld
Journal:  Front Psychiatry       Date:  2022-06-09       Impact factor: 5.435

7.  Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): III. Emotional dysfunction superspectrum.

Authors:  David Watson; Holly F Levin-Aspenson; Monika A Waszczuk; Christopher C Conway; Tim Dalgleish; Michael N Dretsch; Nicholas R Eaton; Miriam K Forbes; Kelsie T Forbush; Kelsey A Hobbs; Giorgia Michelini; Brady D Nelson; Martin Sellbom; Tim Slade; Susan C South; Matthew Sunderland; Irwin Waldman; Michael Witthöft; Aidan G C Wright; Roman Kotov; Robert F Krueger
Journal:  World Psychiatry       Date:  2022-02       Impact factor: 79.683

8.  Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum.

Authors:  Roman Kotov; Katherine G Jonas; William T Carpenter; Michael N Dretsch; Nicholas R Eaton; Miriam K Forbes; Kelsie T Forbush; Kelsey Hobbs; Ulrich Reininghaus; Tim Slade; Susan C South; Matthew Sunderland; Monika A Waszczuk; Thomas A Widiger; Aidan G C Wright; David H Zald; Robert F Krueger; David Watson
Journal:  World Psychiatry       Date:  2020-06       Impact factor: 49.548

9.  The value of clinical and translational neuroscience approaches to psychiatric illness.

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Journal:  Behav Brain Sci       Date:  2019-01       Impact factor: 12.579

10.  Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health.

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